The CHRO mandate for hybrid labor markets

For decades, workforce planning began with a familiar question: how many people will we need?

Today, we need to ask a different and more human question: how do we design work so that people and technology can each contribute at their best, and so that people can continue to grow as work changes?

As AI becomes part of everyday work, planning can no longer focus solely on roles and headcount. It requires understanding work itself – which tasks create the greatest value when done by people, which can be augmented by AI and how that balance will continue to evolve.

This is the reality of emerging hybrid labor markets, where people, AI and automation increasingly work alongside one another. It is not simply about technology deployment and adoption, it is about redesigning work thoughtfully, keeping people, business value and trust at the center.

The technology may come from IT, but the real competitive advantage comes from how well we combine it with human judgement, creativity, relationships and experience.

This calls for a new discipline: hybrid workforce orchestration – designing work so people and technology each contribute where they create the greatest value, while supporting people to grow as work changes.

AI is reshaping tasks before it reshapes jobs

The evidence suggests this shift is already underway, although not in the way many expected.

Our white paper, On the threshold: AI, the future of work and the rise of hybrid labor markets, finds little evidence of widespread AI-driven job loss so far.

Employment across many advanced economies remains resilient and AI adoption inside organizations is still developing. What we are seeing instead is work changing from the inside out.

Routine activities are increasingly supported by AI, creating more space for the work people do best: judgement, creativity, relationships and problem-solving. At the same time, new responsibilities are emerging around supervising AI, validating outputs and improving how workflows.

The impact is not uniform. Entry-level knowledge work and roles with a high proportion of repetitive tasks face greater exposure than others. This matters because today’s entry-level roles build tomorrow’s experienced talent.

A responsible HR strategy therefore needs to do two things at once: embrace the opportunities AI creates while helping people move from declining tasks into growing ones before disruption becomes displacement.

A particular focus needs to be the redesign of entry level roles, to secure the talent pipeline.

From workforce planning to workforce orchestration

This requires HR to move beyond periodic workforce planning towards continuous workforce orchestration.

Rather than forecasting static roles, organizations need a living view of how work, skills and careers are evolving.

That begins with redesigning work at the task level, asking:

• Which activities create the most value when done by people?
• Which activities can AI perform more effectively and efficiently?
• Where is human judgement, creativity and empathy indispensable?
• How should work-flow between people and intelligent systems?

Those decisions shape everything else – the answers shape who we hire, what people learn, how careers develop and how organizations create value.

Skills, mobility and trust become strategic capabilities

The World Economic Forum estimates that 59 out of every 100 workers will need up or reskilling by 2030. 29 can be upskilled within their current role. 19 can move into new opportunities with the right support. 11 are at risk of being left behind.

The challenge is not simply learning. It is creating pathways. People need to see where new skills can take them and trust that the effort to develop will lead to a meaningful opportunity

That means replacing static competency frameworks by rolling skills maps that show how capabilities are evolving, where gaps are emerging and which adjacent capabilities can unlock new career opportunities.

Reskilling becomes a continuous business capability rather than a periodic response to disruption.

But skills alone are not enough if people cannot move.

Employees need visibility of emerging opportunities and confidence that developing new capabilities will lead somewhere meaningful.

Internal mobility therefore becomes a strategic capability, helping companies to redeploy talent into growth areas while retaining valuable experience and institutional knowledge.

Trust is the operating system of AI adoption

Skills and mobility are only part of the answer; trust is equally fundamental.

People do not experience AI as a technology program; they experience it through its impact on their day-to-day work, decisions that affect them and the possibilities they can see for their future.

They need clarity about what is changing, where human judgement remains essential and how AI-supported decisions are governed. AI literacy, responsible governance and transparent communication are therefore just as important as technical implementation.

And experience tells us something simple: people are far more likely to embrace change when they feel informed, involved and able to shape it.

I've said before how crucial the partnership is between HR and digital. Just as workforce planning is not simply about headcount, digital transformation is not simply about systems. The two have become inseparable.

As my colleague and CDIO counterpart Caroline Basyn says: "Technology without people, without adoption, enablement, and purpose is just potential, not progress."

The defining mandate for today's CHRO

The organizations that succeed in hybrid labor markets will not necessarily be those deploying the most AI.

They will be those that redesign work thoughtfully, invest continuously in people and build trust that enables everyone to adapt with confidence.

That is why HR's role is changing.

Business leaders define outcomes. IT enables the technology. Operations redesign workflows. HR brings those elements together – integrating technology, talent and trust to design the future workforce.

Hybrid workforce orchestration is therefore much more than supporting AI adoption. It means redesigning work at the task level, developing skills continuously, creating career mobility, building AI literacy and setting clear guardrails for responsible human-machine collaboration.

The future of work will not be defined by AI, but by the choices we make about how people and technology work together and whether those choices create opportunity, trust and value for everyone.

Helping organizations make that transition is no longer simply part of the CHRO's role. It is becoming the defining mandate of HR for the intelligence era.Helping organizations make that transition is no longer simply part of the CHRO's role. It is becoming the defining mandate of HR for the intelligence era.